docker快速安装ELK

一、创建elk目录

创建/elk/elasticsearch/data/目录

mkdir -p /usr/local/share/elk/elasticsearch/data/

创建/elk/logstash/pipeline/目录

mkdir -p /usr/local/share/elk/logstash/pipeline/

创建/elk/kibana/conf/目录

mkdir -p /usr/local/share/elk/kibana/conf/

二、创建docker-compose.yml (linux没装docker和docker-compose的先自行百度装一下)

进入上述创建的elk目录

cd /usr/local/share/elk/

创建docker-compose.yml

vi docker-compose.yml，然后将下面的代码粘贴到文件中，最后保存即可

#docker-compose.yml
version: '3.3'

services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.5.3
    restart: always
    container_name: elasticsearch
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      - discovery.type=single-node
      - xpack.security.enabled=false
    volumes:
      - /usr/local/share/elk/elasticsearch/data:/usr/share/elasticsearch/data"
    networks:
      - elk-net

  logstash:
    image: docker.elastic.co/logstash/logstash:8.5.3
    restart: always
    container_name: logstash
    ports:
      - "5044:5044/tcp"
      - "9600:9600/tcp"
    volumes:
      - /usr/local/share/elk/logstash/pipeline:/usr/share/logstash/pipeline
    depends_on:
      - elasticsearch
    networks:
      - elk-net

  kibana:
    image: docker.elastic.co/kibana/kibana:8.5.3
    restart: always
    container_name: kibana
    ports:
      - "5601:5601"
    #volumes:
      #- /usr/local/share/elk/kibana/conf:/usr/share/kibana/config
    environment:
      - ELASTICSEARCH_HOSTS=http://elasticsearch:9200
    depends_on:
      - elasticsearch
    networks:
      - elk-net

networks:
  elk-net:

三、创建logstash.conf

进入上述创建的/elk/logstash/pipeline目录

cd /usr/local/share/elk/logstash/pipeline

创建logstash.conf

vi logstash.conf

将下面的代码复制粘贴到文件中保存即可

#logstash.conf
input {
  beats {
    port => 5044
  }
}

filter {
  if [tags] =~ /wclflow/ {
    # 解析时间戳
    date {
      match => [ "message", "yyyy-MM-dd HH:mm:ss.SSS" ]
      target => "@timestamp"
    }

    # 提取其他字段
    grok {
      match => { "message" => "%{TIMESTAMP_ISO8601:timestamp} %{GREEDYDATA:remaining_message}" }
      add_field => [ "[@metadata][timestamp]", "%{timestamp}" ]
    }

    # 进一步分割日志
    grok {
      match => { "remaining_message" => "%{DATA:thread} %{LOGLEVEL:level} %{GREEDYDATA:message}" }
    }

    # 移除原始消息中的时间戳
    mutate {
      remove_field => [ "message" ]
    }

    # 添加时间戳字段
    date {
      match => [ "timestamp", "yyyy-MM-dd HH:mm:ss.SSS" ]
      target => "@timestamp"
    }
  }
}

output {
  elasticsearch {
    hosts => ["http://elasticsearch:9200"]
    index => "wclflow-logs-%{+YYYY.MM.dd.HH.mm.ss}"
  }
}

四、启动ELK

先进入/usr/local/share/elk目录，然后启动ELK

cd /usr/local/share/elk && docker-compose up -d

启动命令执行后，等待十多秒后，查看容器运行情况，如下图表示启动成功

五、kibana汉化

将kibana容器里的配置文件复制出来，修改后再复制到容器里

进入第一步创建的kibana配置目录

cd /usr/local/share/elk/kibana/conf/

复制容器内的配置文件到当前目录

docker cp kibana:/usr/share/kibana/config/kibana.yml .

修改kibana.yml,在最后一行回车后，加上这段内容：i18n.locale: zh-CN

如下图填写，保存即可

保存成功后，将kibana.yml复制回容器，然后重启kibana服务

复制回容器

docker cp ./kibana.yml kibana:/usr/share/kibana/config/

重启kibana服务

docker-compose up -d kibana